treasury-fiscaldata-mcp-server
https://treasury-fiscaldata.caseyjhand.com
Registry code: affe9cf79b0929a7
Use the treasury_* tools to query the US Treasury Fiscal Data API — national debt, interest rates, exchange rates, and other fiscal datasets.
Workflow: treasury_list_datasets to discover endpoint paths and field names for the curated catalog → treasury_query_dataset for any dataset (including endpoints not in the catalog, if you know the path). Convenience tools: treasury_get_debt / treasury_get_interest_rates / treasury_get_exchange_rates.
- endpoint
- https://treasury-fiscaldata.caseyjhand.com/mcp
- protocol
- http-sse ·2025-06-18
- authentication
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treasury_list_datasets unknown never probed
Browse the curated catalog of US Treasury Fiscal Data API endpoints. Returns endpoint paths, field names, descriptions, and update cadence for each dataset. Use this tool before treasury_query_dataset to discover the correct endpoint path and field names — a typo in either causes a 400 error from the API. The catalog is a curated subset of the full API — pass any endpoint path directly to treasury_query_dataset to query datasets not listed here. The catalog covers debt, interest rates, exchange rates, revenue/spending, savings bonds, and securities datasets.
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "search": { "type": "string", "description": "Keyword filter against dataset name and description (case-insensitive substring match). Useful for narrowing results when the category is uncertain." }, "category": { "enum": [ "debt", "interest_rates", "exchange_rates", "revenue_spending", "savings_bonds", "securities", "other" ], "type": "string", "description": "Filter by category. Omit to list all datasets. Options: debt, interest_rates, exchange_rates, revenue_spending, savings_bonds, securities, other." } }, "additionalProperties": false }arguments 24 linestreasury_query_dataset unknown never probed
Query any Treasury Fiscal Data endpoint by path, field list, filters, sort, and page. Call treasury_list_datasets first to get the correct endpoint path and exact field names — a typo in either causes a 400. Filter syntax: each condition is { field, operator, value } where operator is eq/gt/gte/lt/lte/in (e.g., record_date:gte:2024-01-01). Multiple conditions are ANDed together. All response values are strings per the API contract, including numbers and dates; "null" (string) means no value. Supply canvas_id to stage the page result as a DataCanvas table — read its column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query (requires CANVAS_PROVIDER_TYPE=duckdb on the server).
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "required": [ "endpoint" ], "properties": { "sort": { "type": "string", "description": "Sort expression: field name optionally prefixed with \"-\" for descending (e.g., \"-record_date\" for newest-first)." }, "fields": { "type": "array", "items": { "type": "string" }, "description": "Fields to return. Omit to return all fields. Specify field names exactly as listed by treasury_list_datasets — a typo causes a 400." }, "filters": { "type": "array", "items": { "type": "object", "required": [ "field", "operator", "value" ], "properties": { "field": { "type": "string", "description": "Field name to filter on." }, "value": { "anyOf": [ { "type": "string", "minLength": 1, "description": "Single filter value. Dates use YYYY-MM-DD format." }, { "type": "array", "items": { "type": "string", "minLength": 1 }, "minItems": 1, "description": "List of values for \"in\" operator." } ], "description": "Filter value. For \"in\", pass an array of strings. Dates use YYYY-MM-DD format." }, "operator": { "enum": [ "eq", "gt", "gte", "lt", "lte", "in" ], "type": "string", "description": "Comparison operator. \"in\" matches any value in the provided list." } }, "description": "One filter condition.", "additionalProperties": false }, "description": "Filter conditions (ANDed together). Multiple filters on different fields are combined in one filter= parameter." }, "endpoint": { "type": "string", "description": "Endpoint path returned by treasury_list_datasets (e.g., \"/v2/accounting/od/debt_to_penny\"). Include the leading slash." }, "canvas_id": { "type": "string", "description": "Set any non-empty value to stage this page as a DataCanvas table for SQL analysis — the value only requests staging; the server picks the table name. The assigned name (df_XXXXX_XXXXX) comes back in the output canvas_id; pass it to treasury_dataframe_describe, then treasury_dataframe_query. Omit to receive results inline only. Requires CANVAS_PROVIDER_TYPE=duckdb on the server." }, "page_size": { "type": "integer", "default": 100, "maximum": 10000, "minimum": 1, "description": "Rows per page. Default 100. Raise to 10000 to minimize round trips for small datasets. For large time-series pulls, use canvas_id with treasury_dataframe_query instead." }, "page_number": { "type": "integer", "default": 1, "maximum": 9007199254740991, "minimum": 1, "description": "Page to fetch (1-indexed). Check total_pages in the response to know if more pages exist." } }, "additionalProperties": false }arguments 94 linestreasury_get_debt unknown never probed
Fetch national debt (Debt to the Penny) — total public debt outstanding broken into publicly-held debt and intragovernmental holdings. Three modes: "latest" returns the most recent business day's record; "date" returns the record for a specific date (must be a business day — the API only records debt on days markets are open); "series" returns a date range, staging the full result as a DataCanvas table when canvas_id is set or the range matches more than 500 rows — read the table's column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query. Records go back to 1993-04-01.
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "date": { "type": "string", "description": "ISO 8601 date (YYYY-MM-DD) for mode=date. Must be a business day; the API only records debt on days the market is open." }, "mode": { "enum": [ "latest", "date", "series" ], "type": "string", "default": "latest", "description": "\"latest\" returns the most recent day's record. \"date\" returns the record for a specific date. \"series\" returns a date range — use with start_date and end_date." }, "end_date": { "type": "string", "description": "ISO 8601 end date for mode=series (inclusive). Defaults to today." }, "canvas_id": { "type": "string", "description": "Set any non-empty value to stage mode=series results as a DataCanvas table for SQL analysis — the value only requests staging; the server picks the table name. Staging also happens on its own when the range matches more than 500 rows. The assigned name (df_XXXXX_XXXXX) comes back in the output canvas_id; pass it to treasury_dataframe_describe, then treasury_dataframe_query. Requires CANVAS_PROVIDER_TYPE=duckdb." }, "start_date": { "type": "string", "description": "ISO 8601 start date for mode=series (inclusive). Fiscal Data has daily debt records back to 1993-04-01." } }, "additionalProperties": false }arguments 33 linestreasury_get_interest_rates unknown never probed
Average interest rates Treasury pays on its outstanding securities by security type. Answers "what is the government's cost of borrowing?" Covers every type Treasury reports — marketable issues, non-marketable series, and the aggregate totals — and which types it reports changes over the years, so omit security_type to see the ones a given period carries. Rates are percentages, not basis points. Updated monthly (end-of-month records). Mode "latest" returns the most recent month's rates for all or one security type; "series" returns a time history, staging the result as a DataCanvas table when canvas_id is set or the range matches more than 200 rows — read the table's column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query.
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "mode": { "enum": [ "latest", "series" ], "type": "string", "default": "latest", "description": "\"latest\" returns the most recent month's rates. \"series\" returns a time range." }, "end_date": { "type": "string", "description": "ISO 8601 end date for mode=series. Defaults to today." }, "canvas_id": { "type": "string", "description": "Set any non-empty value to stage mode=series results as a DataCanvas table for SQL analysis — the value only requests staging; the server picks the table name. Staging also happens on its own when a series matches more than 200 rows. The assigned name (df_XXXXX_XXXXX) comes back in the output canvas_id; pass it to treasury_dataframe_describe, then treasury_dataframe_query. Requires CANVAS_PROVIDER_TYPE=duckdb." }, "start_date": { "type": "string", "description": "ISO 8601 start date for mode=series (YYYY-MM-DD, must be end-of-month for meaningful results)." }, "security_type": { "type": "string", "description": "Filter to one security type, matched exactly against the security_desc field — full case and punctuation, as in \"Treasury Inflation-Protected Securities (TIPS)\". Omit for every type in the period, which is how to read the set of types on offer; the response names them when a filter matches nothing." } }, "additionalProperties": false }arguments 32 linestreasury_get_exchange_rates unknown never probed
Official Treasury reporting exchange rates for ~165 countries — the rates US federal agencies are required to use when converting foreign currency to USD for official reporting. Published quarterly (March 31, June 30, Sep 30, Dec 31); mode "latest" returns the most recently published quarter. Rate is expressed as foreign currency units per 1 USD (e.g., a Japan-Yen rate of 159.41 means 1 USD = 159.41 JPY). These are NOT market exchange rates and are not suitable for financial transaction pricing. Mode "series" stages the result as a DataCanvas table when canvas_id is set or the range matches more than 500 rows — read the table's column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query.
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "mode": { "enum": [ "latest", "series" ], "type": "string", "default": "latest", "description": "\"latest\" returns the most recently published quarter's rates. \"series\" returns a date range of quarterly reports." }, "end_date": { "type": "string", "description": "ISO 8601 end date for mode=series." }, "canvas_id": { "type": "string", "description": "Set any non-empty value to stage mode=series results as a DataCanvas table for SQL analysis — the value only requests staging; the server picks the table name. Staging also happens on its own when a series matches more than 500 rows, which multi-year multi-country pulls do (~19,000 rows for the full history). The assigned name (df_XXXXX_XXXXX) comes back in the output canvas_id; pass it to treasury_dataframe_describe, then treasury_dataframe_query. Requires CANVAS_PROVIDER_TYPE=duckdb." }, "countries": { "type": "array", "items": { "type": "string" }, "description": "Filter to specific countries by exact country name (e.g., [\"Japan\", \"Germany\", \"France\"]). Case-sensitive, matches the \"country\" field. Omit for every country in the quarter (~165)." }, "start_date": { "type": "string", "description": "ISO 8601 start date for mode=series. Rates are published end-of-quarter (March 31, June 30, Sep 30, Dec 31)." } }, "additionalProperties": false }arguments 35 linestreasury_dataframe_describe unknown never probed
List DataCanvas dataframes materialized by treasury_query_dataset, treasury_get_debt, treasury_get_interest_rates, and treasury_get_exchange_rates. Each entry surfaces source tool, query parameters, creation/expiry timestamps, row count, and column schema. Use this tool before treasury_dataframe_query to discover table names and column types. Requires CANVAS_PROVIDER_TYPE=duckdb.
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "name": { "type": "string", "description": "Optional dataframe table name (df_XXXXX_XXXXX) to describe a single dataframe. Omit to list all active dataframes." } }, "additionalProperties": false }arguments 11 linestreasury_dataframe_query unknown never probed
Run a single-statement SELECT against DataCanvas dataframes registered by treasury_query_dataset, treasury_get_debt, treasury_get_interest_rates, and treasury_get_exchange_rates. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer. All Treasury dataframe columns are VARCHAR — CAST to DECIMAL or DATE for arithmetic and date comparisons. Use treasury_dataframe_describe to list available table names and column schemas before querying.
{ "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "required": [ "sql" ], "properties": { "sql": { "type": "string", "minLength": 1, "description": "Single-statement SELECT against df_<id> tables. All values in Treasury dataframes are VARCHAR (strings) per the API contract — CAST to DECIMAL or DATE for arithmetic and date comparisons. Example: SELECT record_date, CAST(tot_pub_debt_out_amt AS DECIMAL) AS debt FROM df_xxxxx ORDER BY record_date DESC LIMIT 10." }, "preview": { "type": "integer", "maximum": 10000, "minimum": 0, "description": "Rows in the immediate response. Defaults to row_limit and may not exceed it. Set lower when using register_as." }, "row_limit": { "type": "integer", "default": 1000, "maximum": 10000, "minimum": 1, "description": "Hard cap on rows the query may produce. Default 1000, max 10000. A query matching more rows than this stops at the cap and row_count_capped comes back true — raise it, or use register_as to materialize the whole result." }, "register_as": { "type": "string", "description": "Persist the result as a new dataframe under this exact name, to chain analyses. The name is used verbatim — any name works, and a df_ prefix keeps it consistent with the tables the data tools mint. Echoed back in registered_as." } }, "additionalProperties": false }arguments 32 lines
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